Which model is better: Claude 4.5 Sonnet or Llama 4 Maverick?
Llama 4 Maverick is 93.3% cheaper for input tokens ($0.20 vs. $3.00 per 1M tokens) and $0.60 vs. $15.00 for output tokens (15.0x cost advantage). In terms of operational performance, Llama 4 Maverick delivers lower response latency at 135ms TTFT (245ms faster than Claude 4.5 Sonnet) with 175 vs. 84 tok/s throughput. Claude 4.5 Sonnet leads coding evaluations at 75.8% SWE-bench Verified vs. 62.4% for Llama 4 Maverick and 84.2% vs. 73.8% on GPQA Diamond.
Verified daily via automated API latency tests and official documentation.
Zero-Shot RAG Verified
Verified Performance & Unit Economics Delta (12 Dimensions)
Daily synchronized metrics across token pricing, prompt cache economics, latency, throughput, and 5 capability benchmarks.
Metric / Dimension
Claude 4.5 Sonnet
Llama 4 Maverick
Net Delta / Advantage
Input Cost / 1M Tokens
$3.00
$0.20
Llama 4 Maverick is 15.0x cheaper
Output Cost / 1M Tokens
$15.00
$0.60
Llama 4 Maverick (96.0% lower)
Prompt Cache Read / 1M
$0.300
$0.050
Llama 4 Maverick is 6.0x cheaper
Prompt Cache Write / 1M
$3.75
$0.20
Llama 4 Maverick is 18.8x cheaper
Context Window (Max Output)
205k (64k out)
1,049k (33k out)
Llama 4 Maverick (5.1x larger context)
Avg TTFT Response Latency
380ms
135ms
Llama 4 Maverick (245ms faster)
Generation Speed (Throughput)
84 tok/s
175 tok/s
Llama 4 Maverick (+91 tok/s faster)
SWE-bench Verified (Coding)
75.8%
62.4%
Claude 4.5 Sonnet (+13.4% lead)
GPQA Diamond (PhD STEM)
84.2%
73.8%
Claude 4.5 Sonnet (+10.4% lead)
MMLU-Pro (Multi-Discipline)
90.4%
84.5%
Claude 4.5 Sonnet (+5.9% lead)
MATH-500 (Quantitative Logic)
97.5%
91%
Claude 4.5 Sonnet (+6.5% lead)
Inference Value Score (IVR)
56.5 / 100
77 / 100
Llama 4 Maverick (+20.5 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Which is cheaper: Claude 4.5 Sonnet or Llama 4 Maverick?
Llama 4 Maverick is cheaper at $0.20/1M input tokens ($0.60/1M output) compared to $3.00/1M input ($15.00/1M output) for Claude 4.5 Sonnet.
Which model has lower TTFT latency and higher tok/s throughput: Claude 4.5 Sonnet or Llama 4 Maverick?
Llama 4 Maverick delivers faster first-token latency at 135ms TTFT (175 tok/s throughput) compared to 380ms TTFT (84 tok/s) for Claude 4.5 Sonnet.
How do Claude 4.5 Sonnet and Llama 4 Maverick compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Claude 4.5 Sonnet scores 75.8% versus 62.4% for Llama 4 Maverick. On GPQA Diamond graduate-level STEM reasoning, Claude 4.5 Sonnet scores 84.2% versus 73.8% for Llama 4 Maverick (and 97.5% vs 91% on MATH-500).
When should you choose Claude 4.5 Sonnet?
Choose Claude 4.5 Sonnet (Anthropic) for end-to-end autonomous coding agents, complex multi-file debugging, browser/GUI automation, and high-precision technical writing — offering a 204k context window, 380ms TTFT, and $3.00/1M input pricing ($0.300/1M cached reads).
When should you choose Llama 4 Maverick?
Choose Llama 4 Maverick (Meta) for high-throughput open-weight multimodal assistants, enterprise RAG, and low-cost cloud inference on Groq and Cerebras — offering a 1,048k context window, 135ms TTFT, and $0.20/1M input pricing ($0.050/1M cached reads).
